pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- ENH: native support for universal_pathlib (upath) IO
- BUG: Segfault on `np.maximum(series, ...)`
- BUG: unable to generate daily business frequency data
- API: pass `ddof` down to Cythonised `std` / `var` in `groupby.agg`
- BUG: Arrow Struct columns cannot be grouped on (ArrowNotImplementedError)
- API: `future.default_arg` for method-specific behavior changes
- BUG: inconsistent return types from __getitem__ vs iteration
- BUG: set_index with pyarrow timestamp type does not produce DatetimeIndex
- BUG: `transform("cumcount")` returns a Series instead of a Dataframe.
- BUG: multi-index on columns with bool level values does not roundtrip through parquet
- Docs
- Python not yet supported